Data Success Engineer

Data Success Engineer

The Opportunity:

You know that data is most valuable when it helps people make better decisions and accomplish their mission. As a Data Success Engineer, you’ll work at the intersection of business analysis and data engineering to turn client needs into reliable, usable data products.

You’ll partner with business stakeholders, data owners, analysts, and technical teams to understand business processes and data needs, clarify requirements, and build or improve the pipelines that deliver data. You’ll use SQL and Python to query, profile, transform, and validate data, troubleshoot quality issues, and help ensure solutions meet business requirements. You’ll document data definitions and transformation logic, explain technical findings in clear language, and contribute to Agile planning and continuous improvement.

You’ll also support solutions built with Databricks and help clients understand how their data products support business outcomes.

Work with us to use data for good.

Join us. The world can't wait.

You Have:   Experience gathering, analyzing, and documenting business or data requirements, including translating needs into user stories, acceptance criteria, source-to-target mappings, or technical specifications

Experience working directly with clients and stakeholders to facilitate information-gathering discussions, ask effective questions, clarify needs, and communicate findings

Experience with SQL including writing complex queries and investigating data issues across multiple tables or sources

Experience using various AWS services, including AWS Glue, Amazon S3, and Amazon RDS Experience using Python for data processing, automation, or pipeline development

Experience working with relational databases and structured data Ability to connect business objectives to data requirements and technical implementation

Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

Bachelor’s degree in Computer Science, Computer Engineering, Engineering, Math, Physics, or Information Systems and Technology Nice If You Have: 

  Experience with Databricks, including notebooks, Spark, Delta Lake, or Databricks SQL Experience with data warehousing, lakehouse architecture, or medallion data architecture

Experience with data quality frameworks, metadata management, or data governance

Experience with Agile delivery tools and practices, such as Jira, Confluence, and Scrum Experience creating process flows, data models, or other artifacts that help teams understand how data moves and is used Possession of strong analytical, problem-solving, written, and verbal communication skills

Databricks, AWS, or data engineering Certifications Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.

Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz…